GPT Neo FineTuned Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
GPT Neo FineTuned Parameters and Internals
| LLM Name | GPT Neo FineTuned |
| Repository 🤗 | https://huggingface.co/yashmathur0310/GPT-Neo-FineTuned |
| Model Size | 125.2m |
| Required VRAM | 0.5 GB |
| Updated | 2024-09-06 |
| Maintainer | yashmathur0310 |
| Model Type | gpt_neo |
| Model Files | |
| Model Architecture | GPTNeoForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 50257 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
| Errors | replace |
Best Alternatives to GPT Neo FineTuned
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Epfl Cs 522 Istari DPO | 2K / 0.5 GB | 5 | 0 |
| Test | 2K / 5.3 GB | 231 | 0 |
Rank the GPT Neo FineTuned Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803